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Reliable Two-Timescale Scheduling in a Multi-User Downlink Channel with Hard Deadlines

Simon, Bernd ; Destan, Mete ; Klein, Anja (2021)
Reliable Two-Timescale Scheduling in a Multi-User Downlink Channel with Hard Deadlines.
IEEE Global Communications Conference 2021. virtual Conference and Madrid, Spain (07.-11.12.2021)
doi: 10.1109/GLOBECOM46510.2021.9685408
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Ultra-Reliable Low-Latency Communications (URLLC) is an important part of emerging 5G and 6G networks which enables mission-critical applications like autonomous driving. These novel applications depend on the error-free delivery of short messages before an application-specific deadline, which is challenging in a fast-changing environment. In this work, we consider a wireless fading downlink channel shared for the transmission of periodically arriving messages for multiple mobile units (MUs). The message sizes, deadlines and the period of message arrival are MU-specific. The message for a MU can be split into smaller data packets, so that multiple unreliable transmissions can be combined to achieve a reliable transmission. We formulate an infinite time horizon Markov Decision Process (MDP) for the average timely throughput, and show that the MDP is periodic. We propose a novel two-timescale scheduling solution, which incorporates the uncertainty of the channel in an inter-frame problem and errors caused by short-packet coding in an intra-frame problem. Through numerical simulations, we show that the proposed approach outperforms State-of-the-Art scheduling algorithms in terms of timely throughput.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2021
Autor(en): Simon, Bernd ; Destan, Mete ; Klein, Anja
Art des Eintrags: Bibliographie
Titel: Reliable Two-Timescale Scheduling in a Multi-User Downlink Channel with Hard Deadlines
Sprache: Englisch
Publikationsjahr: 12 Dezember 2021
Verlag: IEEE
Buchtitel: 2021 IEEE Global Communications Conference (GLOBECOM): Proceedings
Veranstaltungstitel: IEEE Global Communications Conference 2021
Veranstaltungsort: virtual Conference and Madrid, Spain
Veranstaltungsdatum: 07.-11.12.2021
DOI: 10.1109/GLOBECOM46510.2021.9685408
Kurzbeschreibung (Abstract):

Ultra-Reliable Low-Latency Communications (URLLC) is an important part of emerging 5G and 6G networks which enables mission-critical applications like autonomous driving. These novel applications depend on the error-free delivery of short messages before an application-specific deadline, which is challenging in a fast-changing environment. In this work, we consider a wireless fading downlink channel shared for the transmission of periodically arriving messages for multiple mobile units (MUs). The message sizes, deadlines and the period of message arrival are MU-specific. The message for a MU can be split into smaller data packets, so that multiple unreliable transmissions can be combined to achieve a reliable transmission. We formulate an infinite time horizon Markov Decision Process (MDP) for the average timely throughput, and show that the MDP is periodic. We propose a novel two-timescale scheduling solution, which incorporates the uncertainty of the channel in an inter-frame problem and errors caused by short-packet coding in an intra-frame problem. Through numerical simulations, we show that the proposed approach outperforms State-of-the-Art scheduling algorithms in terms of timely throughput.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B3: Adaptionsökonomie
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C1 : Netzzentrische Sicht
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > T: Transferprojekte
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > T: Transferprojekte > Transferprojekt T2: Prädiktion Netzauslastung
Hinterlegungsdatum: 15 Feb 2022 09:42
Letzte Änderung: 15 Feb 2022 09:42
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Projekte: BMBF Open6GHub
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